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This program is part of my Super-Resolution Project(SR.pdf) Here I have implemented Shift-Invariant Deblurring Creative Commons(CC) Hua Cheng 2011 huacheng99@gmail.com -------------------------------------------------------------------------------- The Program goes as follow: -------------------------------------------------------------------------------- Running: deblur.m There are some test images at the img/ directory -------------------------------------------------------------------------------- Documentation: I have the Chinese Documentation ONLY, and I not going to translate it into English,cause I have no time and it makes no sense. If you are not familar with Chinese, you can read the Prona(17),Osher(18), Xu(16) and Shan(13),which are listed on my Reference of SR.pdf. -------------------------------------------------------------------------------- Data Flow: The details of data flow of the deblur.m is written on my SR.pdf document in English, see the Algorithm 1 and the Algorithm 2 of SR.pdf. Here I am going to talk about How do I make use of Prona(17),Osher(18), Xu(16) and Shan(13)'s result. <<< First >>>: A blurred image I is processed Non-Linear Deffusion(NLD),which is the work of Prona(17). The NLD will reduce the noise signals, but protect the sharp edges. Because of the Shock Filter(Osher(18)) is sensitive to noise, that's why I use NLD before Shock Filter processing. You can find the similar IDEA in the works of Cho(11),Xu(16) or some one else. I call this process a pre-preprocess.(^!^) <<< Second >>>: After the pre-preprocess, the image will be preprocessed by the Shock Filter(Osher(18)), and then starting the First Phase Kernel Estimation of the Two Phase Processes according to the idea of Xu(16). I call the First Phase Kernel Estimation as the Coarse Kernel Estimation, which is implemented as coarse_kernel_est.m function.Before the image processed by coarse_kernel_est.m, it is processed by H_compute.m and M_compute.m function. On the Second Phase Kernel Estimation, also known as Iterative Surpport Detection(ISD) Kernel Refinement.I have to say that I am failed to implement the idea of ISD, when I was using the commented code of ISD part, I can't get any improvement.So I comment the code in my deblur.m and havn't designed a refine_kernel_est.m function file. If any one who wants to try the ISD idea, you are free to use my half-baked code. If you get any improvement based on my "code", it's my honor! And if you are willing to email me your baked code, thank you very much. <^!^> <<< At Last >>>: The image was deconvoluted by Shan(13)'s Deconvolution Algorithm,known as multi_deriv_deconv.m function in my deblur.m. ------------------------------------------------------------------------------------- Good Luck, Hope you enjoy it!{^!^} Any Question, Be free to contact me!
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This Program is part of My Super-Resolution Project. It has implemented a Blind Deblurring Algorithm for Shift-Invariant-Deblurring
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